Vol. 52, No. 1, 2018
A simultaneous English language translation of this journal is available from Pleiades Publishing, Ltd.
Distributed worldwide by Springer. Theoretical Foundations of Chemical Engineering ISSN 0040-5795.
Modeling and Modernization of Tray Towers for Reactive Distillation Processes
p. 1 abstract
Kinetics of Nonequimolar Mass Transfer in Multicomponent Gas (Vapor)–Liquid Systems
p. 11 abstract
Analysis and Modeling of the Hydroisomerization Process for n-Hexane
p. 24 abstract
Thermally Activated Chemical Technology Processes of Agglomeration of Phosphorites
p. 35 abstract
Mathematical Simulation of the Kinetics of Supercritical Fluid-Extraction Regeneration of a Heterogeneous Catalyst
p. 42 abstract
Mathematical Modeling of the Extraction of the Target Component from Plate-Shaped Bodies in a Semicontinuous Process
p. 50 abstract
Kinetic Simulation of Initiated Cracking of Tar
p. 57 abstract
Estimating the Limiting Rate of Dilution in Technology for Lactic Acid Production by Continuous Fermentation
p. 64 abstract
Increasing the Efficiency of the Electroflotation Recovery of Finely Dispersed Carbon Material in the Presence of Surfactants from Liquid Technogenic Waste
p. 67 abstract
Study of the Oxidation Rate of Fe2+ Ions in Water during Air Bubbling
p. 74 abstract
Study and Modeling of Polymer Degradation in Bulk
p. 78 abstract
Mathematical Modeling of Effective Systems of Reactors with Flow-Through 3D Electrodes
p. 87 abstract
Effect of the Preparation Conditions of Carbon Fiber Adsorbents on Their Adsorption Capacity
p. 97 abstract
Amplitude–Frequency Analysis of High-Pressure Pulses in the Confuser of a Complex Technological Pipeline
p. 102 abstract
Analysis of the Centrifugal Filtration Process in a Rotor with a Conic Filter Surface
p. 112 abstract
Local Turbulent Energy Dissipation Rate in an Agitated Vessel: Experimental and Turbulence Scaling
p. 122 abstract
Computational Fluid Dynamics of Co-Production of Zinc and Syngas in a Solar Reactor
p. 135 abstract
Mathematical Model of the Phase Diagrams of Ionic Liquids-Based Aqueous Two-Phase Systems Using the Group Method of Data Handling and Artificial Neural Networks
p. 146 abstract